GEN AI

Infosys; India; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Infosys is seeking a senior leader to architect and implement enterprise-scale Generative AI and Agentic AI solutions, leveraging tools like GitHub Copilot, Claude Code, Cursor, and Autogen to deliver scalable outcomes across QA and business functions.

You will drive end-to-end transformation, guide governance, design complex multi-agent systems, mentor teams, and collaborate with clients to shape AI roadmaps and adoption across accounts.

Qualifications

• Lead architecture and hands-on implementation of enterprise AI solutions.
• Define solution approaches and scalable delivery models.
• Design, develop, and optimize AI agents and workflows.

Responsibilities

• Provide hands-on technical leadership in prompt engineering and agent design.
• Lead AI Assurance and governance initiatives for AI-infused apps.
• Establish reusable frameworks and accelerators for AI engineering.
• Collaborate with clients and cross-functional teams to shape roadmaps.
• Lead PoCs and pilot implementations across accounts.

Skills

AI architecture

Agentic AI

Prompt engineering

Technical leadership

Governance

MLOps

Solution design

Cross-functional leadership

Tools

GitHub Copilot

Claude Code

Cursor

Autogen

LangGraph

CrewAI

Google ADK

SDK

MCP

Job description

Role & responsibilities

• Lead the architecture, design, and hands-on implementation of enterprise-scale Generative AI and Agentic AI solutions using Infosys and industry-standard tools/platforms such as GitHub Copilot, Claude Code, Cursor, and frameworks including Autogen, LangGraph, CrewAI, Google ADK/SDK, MCP ecosystem, and similar AI orchestration frameworks.
• Drive end-to-end AI transformation initiatives by defining solution approaches, implementation strategies, governance practices, and scalable delivery models across Quality Engineering and business functions.
• Design, develop, and optimize complex AI agents, multi-agent systems, and autonomous workflows integrating LLMs, enterprise applications, APIs, databases, and testing ecosystems.
• Provide deep hands-on technical leadership in prompt engineering, agent instruction design, skill file creation, grounding strategies, context management, memory handling, and orchestration logic to improve reliability and accuracy of AI solutions.
• Lead AI Assurance and governance initiatives for AI-infused applications, including validation of functional accuracy, safety, hallucination detection, bias assessment, explainability, performance benchmarking, and responsible AI compliance.
• Establish reusable frameworks, accelerators, standards, and best practices for AI engineering, AI testing, and agent development to improve productivity, scalability, and engineering quality.
• Collaborate with client leadership, enterprise architects, product owners, and cross-functional teams to shape AI roadmaps, solution architecture, innovation programs, and strategic transformation initiatives.

• Act as a technical mentor and AI practice leader by guiding teams on modern AI engineering patterns, agentic frameworks, automation strategies, and emerging GenAI technologies while remaining actively involved in development and problem-solving activities.
• Lead PoCs, innovation programs, and enterprise pilot implementations to demonstrate measurable business outcomes and accelerate AI adoption across accounts.
• Work extensively with cloud and AI ecosystems such as Azure OpenAI, AWS Bedrock, Vertex AI/GCP, vector databases, MCP servers, and enterprise AI deployment architectures.
• Stay ahead of emerging trends in Generative AI, Agentic AI, LLMOps, AI Assurance, and autonomous agent ecosystems, and drive adoption of next-generation AI capabilities within the organization and client engagements.